Generative AI Engineer

Nord Group - A GenHive Partner; Glasgow; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Generative AI Engineer to innovate within the financial sector. This role involves designing and developing a generative AI chatbot tailored for core finance functions, enhancing analytical solutions, and creating robust testing frameworks. The ideal candidate will have deep expertise in Python, Generative AI, and LLM applications, along with a strong understanding of financial systems. Join a dynamic team and contribute to groundbreaking projects that redefine financial analytics and insights. If you are passionate about AI and finance, this opportunity is perfect for you.

Qualifications

• Deep hands-on experience in Python within financial services.
• Experience with LLM-based applications and AI evaluation techniques.

Responsibilities

• Design and develop a generative AI chatbot for finance functions.
• Integrate the chatbot with existing financial systems for real-time insights.

Skills

Python

Generative AI

LLMs

Prompt Engineering

Data Analysis

Agile Development

TDD

Tools

pandas

numpy

LangChain

Semantic Kernel

AWS

Azure

GCP

Job description

Nord Group - A GenHive Partner provided pay range

This range is provided by Nord Group - A GenHive Partner. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Nord Group - A GenHive Partner

We are partnered with a Global Tier one bank for a Gen AI Engineer to join their team in Glasgow on a 12 month rolling contract.

The ideal candidate will need to have deep hands-on experience in Python within a financial services setting and a strong grounding in Generative AI, LLMs, and prompt engineering.

Responsibilities:

• Design and develop a generative AI chatbot tailored to core finance analytical functions (e.g. liquidity stress testing, balance sheet, positions, deposits, collateral).
• Build and enhance an agentic analysis solution for multi-step financial tasks such as variance analysis, data quality checks, and Python/pandas code generation/execution.
• Develop a robust testing framework to assess the accuracy, performance, and reliability of AI agents.
• Create and fine-tune prompt generation strategies to enhance the chatbot’s financial domain relevance and response quality.
• Maintain and scale the underlying infrastructure supporting AI deployment using the bank’s internal AI platforms.
• Integrate the chatbot with existing financial systems and databases to deliver real-time, accurate insights.

Experience:

• Hands-on development of LLM-based applications (OpenAI, Anthropic, Hugging Face, etc.).
• Strong Python programming skills, including libraries like pandas, numpy, and experience with data pipelines.
• Familiarity with frameworks such as LangChain, Semantic Kernel, or similar.
• Prior experience working with AI evaluation techniques and agent orchestration.
• Understanding of cloud AI platforms (AWS, Azure, or GCP).
• Background in TDD/Agile development in a high-compliance environment is preferred

Please apply with an up to date CV or contact myself at [e-mail]

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Contract

Job function

• Job function

  Finance and Information Technology

• Industries

  Investment Banking

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